A simple method to visualize results in nonlinear regression models

Daniel J. Henderson, Subal C. Kumbhakar, Christopher F. Parmeter

Research output: Contribution to journalArticlepeer-review

29 Scopus citations


A simple graphical approach to presenting results from nonlinear regression models is described. In the face of multiple covariates, 'partial mean' plots may be unattractive. The approach here is portable to a variety of settings and can be tailored to the specific application at hand. A simple four variable nonparametric regression example is provided to illustrate the technique.

Original languageEnglish (US)
Pages (from-to)578-581
Number of pages4
JournalEconomics Letters
Issue number3
StatePublished - 2012


  • Dimensionality
  • Gradient estimation
  • Kernel smoothing
  • Least squares cross validation

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics


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